class_docstr: This is a generic feature extractor class that will be instantiated as one of the feature extractor classes of the
  library when created with the [`AutoFeatureExtractor.from_pretrained`] class method.
  
  This class cannot be instantiated directly using `__init__()` (throws an error).
class_docstr_tok: ["This","is","a","generic","feature","extractor","class","that","will","be","instantiated","as","one","of","the","feature","extractor","classes","of","the","library","when","created","with","the","[","`","AutoFeatureExtractor.from_pretrained","`","]","class","method",".","This","class","can","not","be","instantiated","directly","using","`","__init__","(",")","`","(","throws","an","error",")","."]
code: def __init__(self):
      raise EnvironmentError(
          "AutoFeatureExtractor is designed to be instantiated "
          "using the `AutoFeatureExtractor.from_pretrained(pretrained_model_name_or_path)` method."
      )
  
file_path: transformers/src/transformers/models/auto/feature_extraction_auto.py
imports: import importlib
  import json
  import os
  import warnings
  from collections import OrderedDict
  from typing import Dict, Optional, Union
  from ...configuration_utils import PretrainedConfig
  from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
  from ...feature_extraction_utils import FeatureExtractionMixin
  from ...utils import CONFIG_NAME, FEATURE_EXTRACTOR_NAME, get_file_from_repo, logging
  from .auto_factory import _LazyAutoMapping
  from .configuration_auto import CONFIG_MAPPING_NAMES, AutoConfig, model_type_to_module_name, replace_list_option_in_docstrings
label_desc: Use image node_id 1 to create a new AutoFeatureExtractor object  with example: obj = AutoFeatureExtractor()